Invasive BCI

Researchers from the University of Pittsburgh and Carnegie Mellon University tested whether changes in attentional load affected intracortical BCI control in two participants with tetraplegia. Participants moved and clicked a 2D cursor while completing a working memory task. EEG measures and difficulty ratings suggested increased attentional load during dual-tasking, but BCI performance remained largely stable across the dual-task conditions. P2 showed small but significant increases in trial completion time and normalized path length under mild compared with moderate load. The authors suggested that differences in signal quality between participants may have influenced the results; this remains an interpretation rather than an established causal relationship.

A review surveys tools for studying the collective activity of neural populations and discusses how low-dimensional structure can help explain sensory coding, working memory, decisions, and sensorimotor transformations. The authors emphasize that cognitive signals can occupy separable or near-orthogonal population dimensions, reducing interference without requiring distinct cell classes: individual neurons in a shared population can still respond to multiple kinds of information. The review also considers recurrent neural networks as testbeds for mechanistic hypotheses and intracortical brain-computer interfaces as an application in which population geometry becomes a control signal. This is a review, not a new clinical efficacy study.

A review traces implantable BCI substrates from rigid materials such as silicon to bendable but inextensible polymers and then intrinsically stretchable elastomers. It focuses on the mechanical mismatch between microelectrodes and soft brain tissue, which can cause persistent injury and foreign body responses that compromise long-term use. The authors highlight electrospun nanofibrous microelectrodes, which combine stretchability with an interconnected, highly permeable three-dimensional network. They argue that this structure helps address the metabolic limitations of dense films. The review also discusses high-density manufacturing, biochemical modulation, and untethered integration rather than presenting human efficacy testing of a new device.

Neuracle Medical Technology (Shanghai) Co., Ltd. listed its Model 1014-35 cortical electrode in the National Medical Products Administration's medical device unique identification database. The entry identifies the electrode as a component of an implanted EEG electrode kit, which in turn forms part of an implanted BCI hand motor function compensation system. The system also includes a BCI implant, an EEG transceiver, pneumatic glove equipment, and related software. The entry clarifies these component relationships; UDI listing itself is neither a new marketing authorization nor evidence of clinical effectiveness.

Neuracle Medical Technology (Shanghai) Co., Ltd. listed an Implanted EEG Electrode Kit, Model K1014-25, in the National Medical Products Administration's medical device unique identification database. The entry describes a kit containing a cortical electrode (1014-25) and supporting components, forming part of an implanted BCI hand motor function compensation system. The system also includes a BCI implant, an EEG transceiver, pneumatic glove equipment, and related software. The record identifies the kit and its relationship to the system; UDI listing itself is neither a new marketing authorization nor evidence of functional improvement in patients.

Neuracle Medical Technology (Shanghai) Co., Ltd. listed its Model 1014-25 cortical electrode in the National Medical Products Administration's medical device unique identification database. The entry identifies the electrode as part of an implantable EEG electrode kit, which is a component of an implantable BCI hand motor function compensation system. The full system also includes a BCI implant, an EEG transceiver, pneumatic glove equipment, and related software. The record identifies the electrode and its relationship to the kit and system; UDI listing itself is neither a new marketing authorization nor clinical evidence of improved hand function.

Neuracle Medical Technology (Shanghai) Co., Ltd. listed its K1014-35 Implantable EEG Electrode Kit in the National Medical Products Administration's medical device unique identification database. The entry describes a kit containing a cortical electrode (1014-35) and supporting components, forming part of an implantable BCI hand motor function compensation system. The complete system also includes a BCI implant, an EEG transceiver, pneumatic glove equipment, and related software. The record identifies the kit and its relationship to the system; UDI listing itself is neither a new marketing authorization nor evidence of safety or functional improvement in patients.

Neuracle Medical Technology (Shanghai) Co., Ltd. listed its Model 1014-15 cortical electrode in the National Medical Products Administration's medical device unique identification database. The entry identifies the electrode as a component of an implantable EEG electrode kit, which forms part of an implantable BCI hand motor function compensation system. The system also includes a BCI implant, an EEG transceiver, pneumatic glove equipment, and related software. The record specifies the electrode's model, identifier, and relationship to the system; UDI listing itself is neither a new marketing authorization nor clinical evidence of improved hand function.

Neuracle Medical Technology (Shanghai) Co., Ltd. listed its K1014-15 Implantable EEG Electrode Kit in the National Medical Products Administration's medical device unique identification database. The entry describes a kit containing a cortical electrode (1014-15) and supporting components, forming part of an implantable BCI hand motor function compensation system. The complete system also includes a BCI implant, an EEG transceiver, pneumatic glove equipment, and related software. The record identifies the kit and its relationship to the system; UDI listing itself is neither a new marketing authorization nor evidence of safety or improved hand function in patients.

China’s NMPA UDI database lists Neuracle’s NEO-M and NEO-M Pro hand motor function compensation system models under registration certificate 国械注准20263120537, and K1014-25 and K1014-35 implantable EEG electrode kits under 国械注准20263120536. The descriptions identify the system’s implantable components, EEG transceiver, pneumatic glove and software.

A collaboration involving Caltech recorded single-neuron activity in three participants with tetraplegia while applying vibration to a sensate upper-limb region. Primary somatosensory cortex responses tracked stimulus amplitude more closely, while posterior parietal activity was more strongly associated with perception and confidence. Only two participants provided confidence ratings. The preprint distinguishes associations with physical input and subjective perception; it does not establish that one brain region alone generates conscious touch.

Researchers combined high-resolution surface electrophysiology recordings from the first 70 patients implanted with an anatomically conformal, thin-film neural interface to build a functional atlas of the human central nervous system. The interface was positioned at more than 100 locations, with >100,000 electrode deployments spanning motor, sensory, language and other functional regions, as well as the brainstem and spinal cord. Aggregated recordings showed spatially ordered digit representations, movement-related frequency-band changes and task-modulated neural population activity. The study also demonstrated real-time neuroprosthetic control and decoding of cortical activity associated with speech, facial movements and emotional expressions. This approach combines recordings across patients rather than simultaneously reading the entire central nervous system in one person. This study is a preprint and has not been peer reviewed.

Researchers implanted an intracortical brain-computer interface in a participant with complete tetraplegia that reads movement intent from motor cortex to drive muscle electrical stimulation for grasping, while hand-mounted force sensors send touch information back by stimulating the sensory cortex. A separate channel pairs spinal cord stimulation with sensory input to promote neural plasticity. The participant could self-feed and pick up fragile objects. Improvements in elbow flexion strength and wrist sensation persisted after stimulation stopped, suggesting the system may be retraining neural pathways rather than only replacing them.

A research team has used a single high-density electrocorticography (ECoG) implant, an electrode array placed on the brain's surface, to decode speech and gestures simultaneously in people with paralysis, ApplySci reported. When participants simply attempted to speak or gesture, a personalized virtual avatar spoke or moved accordingly, either both at once or separately. The researchers expected the brain signals during combined expression to be a simple sum of the two, but the data differed clearly from speech or gestures alone. Participants practiced a limited vocabulary of up to 10 gestures and 10 words or phrases.

Canyang Zhao and four co-authors posted a preprint on arXiv on September 23, 2026, proposing Task-Conditioned Latent Alignment (TCLA) to tackle a long-standing problem with implanted brain-computer interfaces: the neurons an electrode records change from day to day, so a decoder trained yesterday may fail today. TCLA combines neural signal reconstruction with continuous behavioral supervision to learn a low-dimensional, behavior-related shared space from one recording, then holds that space fixed and aligns each new session into it separately by task. Across seven monkey datasets, long-term cross-session tests averaged R² 0.476±0.014 with a 6.8% decoding failure rate; 1,356 within-subject session pairs averaged R² 0.371±0.009; across different animals, R² averaged 0.218±0.004 with a 12.9% failure rate. Source code is public, and the work has not been peer reviewed.

Purdue University researchers compared sparse and redundant intracortical microstimulation encoding in eight mice. Stimulating more electrodes simultaneously accelerated learning, shortened navigation trials and improved success rates and path efficiency when stimulation was combined with vision. The findings were released as a preprint.

Researchers recorded single neurons in the motor cortex of paralyzed people with intracortical brain-computer interface implants while they watched virtual human hands, robotic hands and hand-like dots perform grasps. The more human-like the effector, the stronger the motor cortex response, both across the neural population and in individual neurons, and the effect tracked participants' own sense of human-likeness. When users attempted hand movements themselves, however, motor cortex activity stayed largely the same regardless of what was on screen, suggesting that intuitive control of external devices may not depend much on whether the device looks human.

Peking University Third Hospital, a top-tier (Grade 3A) general hospital in Beijing whose neurosurgery department is one of its key specialties, is taking part in a clinical trial of a Chinese-developed invasive brain-computer interface (BCI), neurosurgeons Yang Jun and Yu Tao wrote in the 16th issue of China Hospital CEO magazine. The trial enrolls patients with spinal cord injury and relies on a multidisciplinary team (MDT) to restore hand function after implantation. Invasive BCIs read neural signals through electrodes placed inside the skull or on the cortical surface, so surgery and rehabilitation depend on close coordination among neurosurgery, rehabilitation and imaging departments. The disclosure marks one step in Chinese hospitals' clinical validation of domestic systems. Public information has not named the system or disclosed enrollment, follow-up milestones or primary endpoints, and no efficacy or safety data have been released.

Shanghai-based StairMed has taken its wireless implantable brain-computer interface system into human evaluation for people with speech impairments. The prospective, single-arm trial (NCT07647315) actually began on September 1, 2026, is now recruiting, and plans to enroll 4 participants. Subjects will undergo surgical implantation and brain-control training, followed by an expected 12 months of follow-up recording adverse events, serious adverse events and device deficiencies, along with efficacy data on brain-controlled interaction and communication. Primary completion is expected on August 30, 2028, and the study as a whole on December 30, 2028. The registry record does not disclose the implant site, decoding method or detailed eligibility criteria, and no interim results have been posted, so conclusions on safety and efficacy will have to wait for follow-up data.

Researchers recorded passengers' EEG as they watched driving scenes in a highly automated vehicle, then trained models to judge whether a risk lay ahead and where the hazard appeared. A 3D-CRNN reached 95.3% ± 2.7% balanced accuracy in risk prediction and raised hazard identification from 80.9% to 85.0%. In cross-subject tests on passengers the model had not seen, balanced accuracy fell to 64.9% ± 8.5%, showing the approach is still some way from deployment.

Neuracle Medical Technology (Shanghai) Co., Ltd. has registered a cortical electrode, model 1014-35, in the medical device unique identification (UDI) database of China's National Medical Products Administration (NMPA), under registration certificate Guoxiezhuzhun 20263120536. Neuracle's product line spans EEG acquisition equipment and implantable electrodes. The electrode belongs to an implantable EEG electrode kit (cortical electrode, blank electrode, electrode dilator, tunneler, torque wrench, lead fixation clip, fixation screws and electrode protective sleeve) that holds its own registration certificate and is also a component of an implantable BCI hand motor function compensation system. That system comprises a BCI implant, the electrode kit, an EEG signal transceiver, a pneumatic glove, a single-use surgical toolkit, and three software packages for EEG decoding, medical testing and clinical management.

Researchers at the University of California, San Francisco (UCSF), a public research university known for its neuroscience work, had two Parkinson's disease patients train at home with a brain-computer interface (BCI) airplane-simulator game, learning to down-regulate cortical beta activity and thereby control the intensity of their own deep brain stimulation (DBS). The work, posted as a preprint on medRxiv on August 17, 2026, points to BCI applications in neuromodulation and to more personalized treatment for Parkinson's and other conditions; its conclusions have not yet been peer reviewed.

To move from lab prototypes to long-term clinical systems, implantable brain-computer interfaces must place thousands to millions of electrodes several millimeters to centimeters deep in brain tissue without heating it by more than about 1 degree Celsius. This review benchmarks inductive, mid-field, RF, ultrasonic, magnetoelectric, optical, UWB and electro-quasistatic wireless links against three clinical axes (depth, size and data rate), noting that almost every clinically relevant implant is weakly coupled, with coupling coefficients of only 10^-3 to 10^-1. Within a communication budget of about 10 mW, narrowband high-Q links suit power transfer and low-speed data, but at 1-10 nJ/b they cannot deliver the more than 10 Mbps to tens of Gbps uplinks that interfaces with a thousand or more channels require. The study is a preprint and has not been peer reviewed.

A transformer neural network trained on single-neuron spikes, recorded with intracranial microelectrodes while participants watched an audiovisual episode once, predicted which specific people or places they would name during later free recall. The brain regions carrying that information shifted across sleep: medial temporal lobe signals decoded memories before sleep, frontal cortex signals after. The authors say such decoding could point toward brain-computer interfaces for episodic memory disorders. The study is a preprint and has not been peer reviewed.

Endovascular EEG recorded approximately 3.7 times the power of concurrent scalp EEG in 5 patients undergoing an intracarotid amobarbital injection, known as the Wada test, and the nearest endovascular-scalp electrode pairs showed consistently higher coupling in every participant, a mean difference of 4.9 percentage points ranging from 1.8% to 7.6% across individuals and most pronounced at separations under 30 mm. Endovascular EEG has emerged as a brain monitoring technique that balances signal fidelity against invasiveness, the authors write, matching subdural recordings in bandwidth and signal-to-noise ratio in animal studies, but its signal properties have been sparsely quantified in people. All signals were preprocessed with artifact rejection and independent component analysis, then assessed with power spectral density, imaginary coherence, phase-locking value and amplitude envelope correlation.

Researchers at the Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences and collaborating institutions have developed a neural electrode interface that, they report, significantly extended electrode operational lifetime and improved signal fidelity over six months of in vivo implantation. The material, a benzyloxycarbonyl-substituted poly(ornithine-alt-glycine) coating abbreviated OGCbz, resists biofouling and immunogenic rejection without degrading electrical performance, targeting what the authors call the critical obstacle to electrodes that combine long-term recording with tunable biofunctional control: an immune-mediated foreign body response in which glial scar encapsulates implants like cement. Substituting the Cbz group with other functional moieties preserves those antifouling and biocompatibility properties while adding new ones, and as a proof of concept the peptide sequence IKVAV and the antibody cetuximab gave the interface neuron affinity and tumor cell proliferation inhibition respectively; the six-month result came from the IKVAV-functionalized version.

Spatial-covariance EEG features can flag whether an operator's decision will be correct before the response is committed, and weighting group votes by that signal raised accuracy on contested trials from 57% to 88% as team size grew from 2 to 16, according to a preprint. Twenty-three participants ran a virtual reality target-detection task under high and low cognitive workload, and the gain appeared only in the high-workload condition; under low workload the weighting hurt performance. EEG-based decision-reliability signals are therefore workload-conditional rather than a general-purpose team augmentation tool, the authors write; the preprint has not been peer reviewed.